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- An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
- Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability
- Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
- AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
- Application of big data analytics in minoxidil drug development: a data-driven model for predicting efficacy and side effect risks
- A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
- Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk
- The intragenic mRNA-microRNA regulatory network during telogen-anagen hair follicle transition in the cashmere goat
- AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response
- Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
- Targeting the Wnt pathways for therapies
- Emerging smart microneedle technologies in psoriasis: convergence of nanocarriers, machine learning, and personalized delivery
- Drug Repurposing against KRAS Mutant G12C: A Machine Learning, Molecular Docking, and Molecular Dynamics Study
- Editorial: Machine Learning Techniques on Gene Function Prediction Volume II
- Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives
- Harnessing Microbiome, Bacterial Extracellular Vesicle, and Artificial Intelligence for Polycystic Ovary Syndrome Diagnosis and Management
- Accessing Properties of Molecular Compounds Involved in Cellular Metabolic Processes with Electron Paramagnetic Resonance, Raman Spectroscopy, and Differential Scanning Calorimetry
- Forensic DNA phenotyping: a review on SNP panels, genotyping techniques, and prediction models
- Serum-Based Assessment of Alopecia Areata Response to Treatment Using ATR-FTIR Spectroscopy
- Machine learning for nanozyme development in anti‐inflammatory applications
- Stimuli-responsive hydrogels for radiation-induced skin injury: from passive barriers to autonomous drug delivery systems
- Two-Stage Machine Learning-Based GWAS for Wool Traits in Central Anatolian Merino Sheep
- Xgboost Algoritmasıyla Polikistik Over Sendromu Teşhisi
- Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative
- Advances in 3D Printed Bone Implants: Smart Responsive Antibacterial Strategies and AI-Driven Design
- HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
- Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
- Progress in Pluronic F127 Derivatives for Application in Wound Healing and Repair
- Research Advances in Electrospun Nanofiber Membranes for Non-Invasive Medical Applications
- The Enterobacter sp. SA187 stimulates stress-responsive genes and promotes salt and heat stress tolerance in tomato plants